1.

Record Nr.

UNINA9910254947103321

Autore

Plikynas Darius

Titolo

Introducing the Oscillations Based Paradigm [[electronic resource] ] : The Simulation of Agents and Social Systems / / by Darius Plikynas

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-39040-6

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XXIV, 325 p. 97 illus., 16 illus. in color.)

Disciplina

658.4038

Soggetti

Management information systems

Big data

Computer simulation

Special purpose computers

Business Information Systems

Big Data/Analytics

Simulation and Modeling

Special Purpose and Application-Based Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Foreword by Andrea Omicini -- Foreword by John T. Cacioppo -- Preface -- Chapter 1 Synopsis -- Chapter 2 Towards Wavelike Approach -- Chapter 3 Oscillation-based social simulation paradigm: The Conceptual Premises -- Chapter 4 From Baseline Individual to Social Neurodynamics: Experimental Framework -- Chapter 5 OAM-Based Simulation of Human Brain EEG Signal Dynamics using coupled Oscillators Energy Exchange Model (COEEM) -- Chapter 6 Mind-Field States and Transitions: Quantum Approach -- Chapter 7 OAM Construction Based on the Universal Free Energy Term: Conceptual Scope and Simulation Results -- Chapter 8 OAM-Based MAS: Simulation Setup and Results -- Chapter 9 Agent-Based Modeling of Excitable Social Media Fluctuations -- Chapter 10 Agent-Based Modeling of Fluctuations in Automated Trading Systems -- Appendix A Autopoietic Systems -- Appendix B Global Workspace Theory -- Appendix C Embodied and Distributed Cognition -- Appendix D Cognition,



Categorization, and Adaptive Resonance -- Appendix E Basic Mind States and Quantum Holography.

Sommario/riassunto

The book presents a conceptually novel oscillations based paradigm, the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the modelling of agents and their systems as coherent, stylized, neurodynamic processes. This paradigm links emerging research domains via coherent neurodynamic oscillation-based representations of the individual human mind and society (as a coherent collective mind) states. Thus, this multidisciplinary paradigm delivers an empirical and simulation research framework that provides a new way of modelling the complex dynamics of individual and collective mind states.   This book addresses a conceptual problem – the lack of a multidisciplinary, connecting paradigm, which could link fragmented research in the fields of neuroscience, artificial intelligence (AI), multi-agent system (MAS) and the social network domains. The need for a common multidisciplinary research framework essentially arises because these fields share a common object of investigation and simulation, i.e. individual and collective human behavior. Although the fields of research mentioned above all approach this from different perspectives, their common object of investigation unites them. By putting the various pathways of research as they are interrelated into perspective, this book provides a philosophical underpinning, experimental background and modelling tools that the author anticipates will reveal new frontiers in multidisciplinary research. Fundamental investigation of the implicit oscillatory nature of agents’ mind states and social mediums in general can reveal some new ways of understanding the periodic and nonperiodic fluctuations taking place in real life. For example, via agent states-related diffusion properties, we could investigate complex economic phenomena like the spread of stock market crashes, currency crises, speculative oscillations (bubbles and crashes), social unrest, recessionary effects, sovereign defaults, etc. All these effects are closely associated with social fragility, which follows and is affected by cycles such as production, political, business, and financial. Thus, the multidisciplinary OSIMAS paradigm can yield new knowledge and research perspectives, allowing for a better understanding of social agents and their social organization principles.